@inbook{e4e35b8c5a22456eafb627b8d98a3b82,
title = "High-throughput functional annotation and data mining of fungal genomes to identify therapeutic targets",
abstract = "With the advent of next-generation sequencing approaches and mass spectrometry techniques, there is a huge explosion in nucleotide and protein sequence data. Despite this increase in sequence data, several proteins remain unannotated, such as hypothetical proteins. Annotation and extraction of secretory proteins from the proteome using labor-intensive wet-lab techniques is prohibitive. Computational tools can be used to provide putative functionality, prior to experimental validation. This chapter introduces a bioinformatics workflow system using the best currently available free computational tools for the annotation of hypothetical proteins and prediction and analysis of secreted proteins as therapeutic targets, applied to pathogenic fungi, Cryptococcus gattii, and Cryptococcus neoformans var. grubii.",
keywords = "Annotation, Drug targets, Interproscan, Protein domains, BRITE, FASTA, KEGG, KAAS, SPAAN",
author = "Gagan Garg and Shoba Ranganathan",
year = "2013",
doi = "10.1007/978-1-4614-2356-0_55",
language = "English",
isbn = "9781461423560",
series = "Fungal biology",
publisher = "Springer, Springer Nature",
pages = "559--564",
editor = "Gupta, {Vijai Kumar} and Tuohy, {Maria G.} and Manimaran Ayyachamy and Turner, {Kevin M.} and Anthonia O'Donovan",
booktitle = "Laboratory protocols in fungal biology",
address = "United States",
}